Fuzzy Arithmetic |
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Software Environment for Fuzzy ArithmeticRuediger Kuhn, Scott Ferson funded by Deutscher Akademischer Austasch Dienst
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Project description There are uncertainty propagation problems which are poorly suited for traditional methods such as Monte Carlo simulation because of extremely sparse data sets, ignorance about correlations among variables, or graded definitions of important quantities (how many children have high body burdens of an environmental contaminant depends on what you consider "high"). Fuzzy arithmetic was a developed for such situations as a way to make rigorous calculations without requiring subjective decisions. The Risk Calc software was developed as a part of this project. The following publications describe the work in more detail.
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